ggDCA: Calculate and Plot Decision Curve
Diagnostic and prognostic models are typically evaluated with
measures of accuracy that do not address clinical consequences.
Decision-analytic techniques allow assessment of clinical outcomes but
often require collection of additional information and may be cumbersome to
apply to models that yield a continuous result.
Decision curve analysis is a suitable method for evaluating
alternative diagnostic and prognostic strategies that has advantages over
other commonly used measures and techniques.
This method was described by Andrew J. Vickers (2006) <doi:10.1177/0272989X06295361>.
||R (≥ 2.10), ggplot2
||do, set, rms (≥ 6.0.1), base.rms, survival (≥ 3.1-12)
||Jing Zhang [aut, cre],
Zhi Jin [aut]
||Jing Zhang <zj391120 at 163.com>
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